Affiliation:
1. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. Key Laboratory of Space Photoelectric Detection and Perception (Nanjing University of Aeronautics and Astronautics), Ministry of Industry and Information Technology, Nanjing, China
3. Key Laboratory of Small- and Medium-Sized UAV Advanced Technology, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
4. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
5. Shanxi Key Laboratory of Signal Capturing and Processing, North University of China, Taiyuan, China
6. Beijing Key Laboratory of Advanced Optical Remote Sensing Technology, Beijing Institute of Space Mechanics and Electricity, Beijing, China
Funder
Central Universities in Nanjing University of Aeronautics and Astronautics
Postgraduate Research and Practice Innovation Program of NUAA
Open Project Funds for the Key Laboratory of Space Photoelectric Detection and Perception
Ministry of Industry and Information Technology
Key Laboratory of Radar Imaging and Microwave Photonics
Nanjing University of Aeronautics and Astronautics
Ministry of Education
Beijing Key Laboratory of Urban Spatial Information Engineering
Beijing Key Laboratory of Advanced Optical Remote Sensing Technology
Shanxi Key Laboratory of Signal Capturing and Processing
State Key Laboratory of Geoinformation Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR, CASM
Key Laboratory of System Control and Information Processing
Science Foundation of Donghai Laboratory
Natural Science Foundation of Jiangsu Province
Hong Kong Scholars Program
Youth Promotion Talent Project of Jiangsu Association for Science and Technology
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Reference67 articles.
1. Faster R-CNN: Towards real-time object detection with region proposal networks;ren;Proc Adv Neural Inf Process Syst,2015
2. Light-YOLOv4: An Edge-Device Oriented Target Detection Method for Remote Sensing Images
3. Fast R-CNN
4. HRLE-SARDet: A Lightweight SAR Target Detection Algorithm Based on Hybrid Representation Learning Enhancement
5. YOLOv4: Optimal speed and accuracy of object detection;bochkovskiy,2020